Papers with Unsupervised automatic readability assessment

1 papers
Zero-shot Large Language Models for Automatic Readability Assessment (2026.acl-long)

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Challenge: Existing unsupervised automatic readability assessment methods have important practical and research applications.
Approach: They propose a new zero-shot prompting methodology for automatic readability assessment (ARA) they propose combining large language models with readability formula scores to improve robustness .
Outcome: The proposed method outperforms prior methods on 13 of 14 datasets and improves on contextual and shallow features of readability.

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